Rocky Brands (RCKY) Depreciation & Amortization (CF) (2010 - 2026)
Rocky Brands' Depreciation & Amortization (CF) was $2.42 million in Q2 2026, down 0.9% from $2.44 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rocky Brands' Depreciation & Amortization (CF) was $9.92 million through Jun 30, 2026, down 0.3% year-over-year; for FY2025, it was $9.85 million, down 4.0% from FY2024.
- Depreciation & Amortization (CF) has now declined for three consecutive years, though with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $10.25 million in FY2024 (-6.3%), $10.94 million in FY2023 (-11.2%), $12.32 million in FY2022 (+8.6%) and $11.34 million in FY2021 (+116.5%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in two of the last eight quarters, with an average decline of 2.9%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2022 (growth of 176.2%); the worst was Q2 2022 (a decline of 36.7%).
- Per Business Quant data, RCKY's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $2.48 million (Q1 2026), $2.52 million (Q4 2025) and $2.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 193.00 Mn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 20.05 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | 2.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Mn |
| Mar 31, 2026 | 2.48 Mn |
| Dec 31, 2025 | 2.52 Mn |
| Sep 30, 2025 | 2.50 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 2.68 Mn |
| Jun 30, 2024 | 2.62 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Sep 30, 2023 | 2.72 Mn |
| Jun 30, 2023 | 2.72 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 3.56 Mn |
| Sep 30, 2022 | 2.91 Mn |
| Jun 30, 2022 | 2.82 Mn |
| Mar 31, 2022 | 3.02 Mn |
| Dec 31, 2021 | 3.11 Mn |
| Sep 30, 2021 | 2.68 Mn |
API Access
Rocky Brands Depreciation & Amortization (CF) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "RCKY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();